Tightening upper bounds for mining weighted frequent itemsets.
Guo-Cheng LanTzung-Pei HongHong-Yu LeeChun-Wei LinPublished in: Intell. Data Anal. (2015)
Keyphrases
- frequent itemsets
- upper bound
- itemsets
- frequent itemset mining
- mining algorithm
- association rules
- association rule mining
- mining frequent itemsets
- lower bound
- data streams
- frequent patterns
- closed frequent itemsets
- transactional databases
- discovery of association rules
- concise representation
- mining association rules
- transaction databases
- data structure
- constraint based mining
- itemset mining
- frequent closed itemsets
- closed itemsets
- emerging patterns
- frequent itemsets mining
- mining frequent patterns
- interesting patterns
- frequent pattern mining
- apriori algorithm
- episode rules
- generalized association rules
- dense datasets
- frequent item sets
- frequent closed
- condensed representations
- data mining
- discovering association rules
- real world
- maximal frequent itemsets
- frequent set mining
- uncertain data
- pattern mining
- data mining techniques
- data sets
- anti monotone
- pattern growth
- frequent sets
- mining frequent
- minimum support
- sequential pattern mining
- formal concept analysis
- concept drift